All Financial Services

Release 7.3 Of The DMS Agorum Core

Simply documents faster process to more efficiency in the handling of data, lists of invoice items simply enter, synchronize data automatically and aiming for cheaper storage media of the open source document management system agorum lead over the new version 7.3 core offers numerous possibilities to make dealing with data in everyday work as far more efficiently. In addition to new features and enhancements to existing modules of the DMS, the major release contains completely new features, how to backup and acquisition of ZUGFeRD invoices. Ostfildern, 18.11.2013 can core agorum with the introduction of version 7.3 of the DMS/ECM the user of an optimized and enhanced DocForm module for automatic detection and data processing. For example, by the parallel processing of document with which documents can be processed faster than before, because as many cores are allocated to the OCR engine instead of just one. Also manages companies by means of the integrated split & merge feature whole document stack in a drive to collect and automatically share in stand-alone documents. With the new add-on modules agorum core DocForm position and agorum core DocForm verify the user also extend their existing DocForm module and more economical to capture data and automatically verify can: individual items, such as invoice and delivery note items, can be simply read out, processed and matched with other data.

The latter, for example, with data within the captured document or also external data sources, such as an ERP system. Companies minimize the manual overhead associated data collection, save time and reduce costs. Furthermore, the version 7.3 new agorum core storage module allows to store vast amounts of data safely and at the same time economically. Companies can cause over selective and frequency use documents, versions, and previews a content including in everyday on different fast and expensive storage systems. On the other hand, this allows Module to connect multiple databases, such as a production database for day-relevant documents and an archive database for older information.